Frequency-modulated continuous-wave radar enables the non-contact and privacy-preserving recognition of human behavior.However,the accuracy of behavior recognition is directly influenced by the spatial relationship be...Frequency-modulated continuous-wave radar enables the non-contact and privacy-preserving recognition of human behavior.However,the accuracy of behavior recognition is directly influenced by the spatial relationship between human posture and the radar.To address the issue of low accuracy in behavior recognition when the human body is not directly facing the radar,a method combining local outlier factor with Doppler information is proposed for the correction of multi-classifier recognition results.Initially,the information such as distance,velocity,and micro-Doppler spectrogram of the target is obtained using the fast Fourier transform and histogram of oriented gradients-support vector machine methods,followed by preliminary recognition.Subsequently,Platt scaling is employed to transform recognition results into confidence scores,and finally,the Doppler-local outlier factor method is utilized to calibrate the confidence scores,with the highest confidence classifier result considered as the recognition outcome.Experimental results demonstrate that this approach achieves an average recognition accuracy of 96.23%for comprehensive human behavior recognition in various orientations.展开更多
Background Human behaviors and tumors go hand in hand.The wave of globalization has brought about a global homogenization of human behaviors,which further triggers a potential global human behavior-related cancer burd...Background Human behaviors and tumors go hand in hand.The wave of globalization has brought about a global homogenization of human behaviors,which further triggers a potential global human behavior-related cancer burden(HBRCB)convergence.Methods This study systematically evaluated the global,regional,and national metrics of HBRCBs over the last 30 years using data from the Global Burden of Diseases(GBD)2019 results and the WHO Global Health Observatory(GHO)data repository.Results The results showed the global remission and convergence of HBRCB in the last three decades and the foreseeable future(2020–2044).Overall,HBRCBs are decreasing with the global emphasis on positive dietary habits,safe sex,substance addiction withdrawal,and active physical exercise habits.Globally,from 1990 to 2019,with the development of social development index(SDI)level from 0.511 to 0.651,the HBRCBs had been decreasing from 1507.908 to 1145.344 in age-standardized disability-adjusted life years(ASDALY)and from 61.467 to 49.449 in(age-standardized death rates)ASDR per 100,000 population with changes of−24.04%and−19.55%,respectively.Meanwhile,the variance in HBRCBs among countries and territories generally showed a decreasing or flat trend.The variance of HBRCBs among 204 countries and territories in 2019–2044 decreased from 1495.210 to 449.202 in males and from 214.640 to 78.848 in females for ASDR due to all behavior risks,and from 911,211.676 to 317,233.590 in males and from 146,171.660 to 62,926.660 in females for ASDALY.The global HBRCBs was becoming more uniform due to the globalization of human behaviors.Conclusions This study revealed the significance of addressing HBRCBs as a uniform and continuous issue in future global health promotion.It also demonstrated the potential existence of a chain effect in global health,where globalization leads to human behavior homogenization,which in turn results in HBRCB convergence.Properly measuring the commonalities and individualities among different regions and finding a balance when designing and evaluating HBRCB-related global policies in the global convergence trend of HBRCBs will be major concerns in the future.展开更多
Image semantic segmentation is an essential technique for studying human behavior through image data.This paper proposes an image semantic segmentation method for human behavior research.Firstly,an end-to-end convolut...Image semantic segmentation is an essential technique for studying human behavior through image data.This paper proposes an image semantic segmentation method for human behavior research.Firstly,an end-to-end convolutional neural network architecture is proposed,which consists of a depth-separable jump-connected fully convolutional network and a conditional random field network;then jump-connected convolution is used to classify each pixel in the image,and an image semantic segmentation method based on convolu-tional neural network is proposed;and then a conditional random field network is used to improve the effect of image segmentation of hu-man behavior and a linear modeling and nonlinear modeling method based on the semantic segmentation of conditional random field im-age is proposed.Finally,using the proposed image segmentation network,the input entrepreneurial image data is semantically segmented to obtain the contour features of the person;and the segmentation of the images in the medical field.The experimental results show that the image semantic segmentation method is effective.It is a new way to use image data to study human behavior and can be extended to other research areas.展开更多
The use of mathematical models in economics has long been a subject of debate,particularly regarding the tension between mathematical precision and the unpredictability of human behavior.This paper critically examines...The use of mathematical models in economics has long been a subject of debate,particularly regarding the tension between mathematical precision and the unpredictability of human behavior.This paper critically examines the limitations of over-relying on mathematical models to predict economic outcomes,arguing that such models often fail to account for the social,cultural,and psychological factors that drive economic activities.The analysis highlights how attempts to quantify complex economic behaviors may lead to oversimplifications and inaccurate forecasts,as illustrated by past financial crises and market disruptions.The paper concludes by advocating for a more balanced approach that combines mathematical rigor with an understanding of human behavior to enhance the accuracy and effectiveness of economic predictions.展开更多
There is a wide diversity of landforms in China. The topography of three major ter- races, decreasing in height stepwise from west to east, was formed by the early Miocene. With the commencement of the Great Northern ...There is a wide diversity of landforms in China. The topography of three major ter- races, decreasing in height stepwise from west to east, was formed by the early Miocene. With the commencement of the Great Northern Hemisphere Glaciations （GHGs） and the glacial-interglacial cycles in the Pleistocene, thick loess deposits accumulated in north China, and fluvial terraces were formed and lakes expanded and contracted in eastern and central China. The earliest evidence of hominins in China is dated to ~1.7 Ma; they occupied the monsoon-dominated region for a long interval, until the late Pleistocene, ~50 ka. In this study, we investigated a large area rich in the relics and artifacts of early man. The results indicate that the early humans occupied riverine areas, especially medium-sized fluvial basins, and lake shores. Even in the relatively recent geological past, the occupation and abandonment of settlements were directly forced by the shifting of sand dune fields in the desert-loess transi- tional zone, which in turn was closely associated with variations in the monsoon climate and vegetation patterns. Our observations indicate that landforms were one of the main determi- nants of early human behavior, in that loess tableland, large alluvial plains, desert-Gobi areas, and the Tibetan Plateau, were not suitable environments for early human settlement. We infer that the early humans in China adapted their behavior to specific landforms and landform processes. The monsoon climate, which shapes the large-scale step-like pattern of fluvial landforms, promotes vegetation coverage and dominates soil formation, provides a crucial context for early human adaptation. The adaptation of early humans to earth surface proc- esses in East Asia is investigated for the first time in this study. Future investigations will provide further information that will increase our understanding of the linkage between early human behavior and landform processes in East Asia.展开更多
Due to the increasing demand for security, the development of intelligent surveillance systems has attracted considerable attention in recent years. This study aims to develop a system that is able to identify whether...Due to the increasing demand for security, the development of intelligent surveillance systems has attracted considerable attention in recent years. This study aims to develop a system that is able to identify whether or not the people need help in a public place. Different from previous work, our work considers not only the behaviors of the target person but also the interaction between him and nearby people. In the paper, we propose an event alarm system which can detect the human behaviors and recognize the happening event through integrating the results generated from the single and group behavior analysis. Several new effective features are proposed in the study. Besides, a mechanism capable of extracting one-to-one and multiple-to-one relations is also developed. Experimental results show that the proposed approach can correctly detect human behaviors and provide the alarm messages when emergency events occur.展开更多
In the process of human behavior recognition, the traditional dense optical flow method has too many pixels and too much overhead, which limits the running speed. This paper proposed a method combing YOLOv3 (You Only ...In the process of human behavior recognition, the traditional dense optical flow method has too many pixels and too much overhead, which limits the running speed. This paper proposed a method combing YOLOv3 (You Only Look Once v3) and local optical flow method. Based on the dense optical flow method, the optical flow modulus of the area where the human target is detected is calculated to reduce the amount of computation and save the cost in terms of time. And then, a threshold value is set to complete the human behavior identification. Through design algorithm, experimental verification and other steps, the walking, running and falling state of human body in real life indoor sports video was identified. Experimental results show that this algorithm is more advantageous for jogging behavior recognition.展开更多
Classification of human actions under video surveillance is gaining a lot of attention from computer vision researchers.In this paper,we have presented methodology to recognize human behavior in thin crowd which may b...Classification of human actions under video surveillance is gaining a lot of attention from computer vision researchers.In this paper,we have presented methodology to recognize human behavior in thin crowd which may be very helpful in surveillance.Research have mostly focused the problem of human detection in thin crowd,overall behavior of the crowd and actions of individuals in video sequences.Vision based Human behavior modeling is a complex task as it involves human detection,tracking,classifying normal and abnormal behavior.The proposed methodology takes input video and applies Gaussian based segmentation technique followed by post processing through presenting hole filling algorithm i.e.,fill hole inside objects algorithm.Human detection is performed by presenting human detection algorithm and then geometrical features from human skeleton are extracted using feature extraction algorithm.The classification task is achieved using binary and multi class support vector machines.The proposed technique is validated through accuracy,precision,recall and F-measure metrics.展开更多
After the analysis of connotations of human behavior and low-carbon landscape,according to relevant theories of behavioral science and psychology,the internal relation between behavior and lowcarbon landscape has been...After the analysis of connotations of human behavior and low-carbon landscape,according to relevant theories of behavioral science and psychology,the internal relation between behavior and lowcarbon landscape has been discussed.They relate to,interact on and are the precondition of each other.Reasonable landscape environment has carried people's expectation for nature,and different landscapes give people different feelings and present to be of different behavior features.Finally,the paper has proposed constructing low-carbon landscape in the perspective of landscape design idea,design methods,construction process and later management,providing a theoretical basis for advocating energy saving and environmental protection,and creating green ecology.展开更多
The phenomenon described here has no scientific title, but occurs frequently in daily living, from science to philosophy, religion, and medicine. In every field of human endeavor, when a view is expressed, sharp and p...The phenomenon described here has no scientific title, but occurs frequently in daily living, from science to philosophy, religion, and medicine. In every field of human endeavor, when a view is expressed, sharp and profound differences of opinion ensue. Initially, we coin this phenomenon as ＂understanding blindness＂ or ＂mind＇s awareness.＂ Thereafter, we decide to refer to it as ＂mind blindness,＂ a concept introduced to science by Professor Simon Baron-Cohen, who coins it for a cognitive disorder associated with autism, Asperger＇s syndrome, and schizophrenia. Baron-Cohen＇s usage has subsequently been extended to dementia, bi-polar disorders, antisocial personality disorders, and even normal aging. In our view, definition and identification of ＂mind blindness＂ in philosophy, religion, science, medicine, and at end-of-life care can help mankind to better understand mechanisms of human behavior, and the causes of conflicts, controversies, contradictions, and sharp differences of opinion in human life, and even to solve some of them.展开更多
Human living environment interacts with human behaviors.Environment to some degree determines human behaviors which in return reshape and sustain the dynamic environment.Taking Richard Jefferies' The Acorn Gathere...Human living environment interacts with human behaviors.Environment to some degree determines human behaviors which in return reshape and sustain the dynamic environment.Taking Richard Jefferies' The Acorn Gatherer as a case study,this paper makes an argument that the behaviors of the villagers in the story can be more adequately interpreted in view of the backward countryside environment,and the same is true with the author Richard Jefferies' non-interference in the omniscient third-person point of view in writing the story.It is Richard Jefferies' family environment that makes up his viewpoint of writing,reflecting his critical loving of the countryside,where lives boom and conventions are extremely followed.展开更多
In terms of human behavior,company and government policy,it is proposed that the ecological behavior of human being is the basis of influence on the ecological environment construction in Poyang Lake and measures to e...In terms of human behavior,company and government policy,it is proposed that the ecological behavior of human being is the basis of influence on the ecological environment construction in Poyang Lake and measures to ensure the sustainable development of ecological environment in Poyang Lake.展开更多
An intelligent humidity sensing system has been developed for real-time monitoring of human behaviors through respiration detection.The key component of this system is a humidity sensor that integrates a thermistor an...An intelligent humidity sensing system has been developed for real-time monitoring of human behaviors through respiration detection.The key component of this system is a humidity sensor that integrates a thermistor and a micro-heater.This sensor employs porous nanoforests as its sensing material,achieving a sensitivity of 0.56 pF/%RH within a range of 60–90%RH,along with excellent long-term stability and superior gas selectivity.The micro-heater in the device provides a high operating temperature,enhancing sensitivity by 5.8 times.This significant improvement enables the capture of weak humidity variations in exhaled gases,while the thermistor continuously monitors the sensor’s temperature during use and provides crucial temperature information related to respiration.With the assistance of a machine learning algorithm,a behavior recognition system based on the humidity sensor has been constructed,enabling behavior states to be classified and identified with an accuracy of up to 96.2%.This simple yet intelligent method holds great potential for widespread applications in medical assistance analysis and daily health monitoring.展开更多
To investigate the effects of environmental pollution and human behavior change on waterborne diseases,we propose a reaction-advection-diffusion waterborne disease model with a general boundary condition,which incorpo...To investigate the effects of environmental pollution and human behavior change on waterborne diseases,we propose a reaction-advection-diffusion waterborne disease model with a general boundary condition,which incorporates human hosts and reservoir aquatic of pathogen.We identify the basic reproduction number R_(0)and discuss its asymptotic properties.We prove its threshold role:if R_(0)<1,the disease-free periodic solution is globally attractive;if R_(0)>1,the model system is uniformly persistent;if R_(0)=1,the disease-free steady state is globally asymptotically stable without the advection term,in which the proof is quite challenging due to human behavior change.展开更多
This study investigates the critical intersection of cyberpsychology and cybersecurity policy development in small and medium-sized enterprises (SMEs). Through a mixed-methods approach incorporating surveys of 523 emp...This study investigates the critical intersection of cyberpsychology and cybersecurity policy development in small and medium-sized enterprises (SMEs). Through a mixed-methods approach incorporating surveys of 523 employees across 78 SMEs, qualitative interviews, and case studies, the research examines how psychological factors influence cybersecurity behaviors and policy effectiveness. Key findings reveal significant correlations between psychological factors and security outcomes, including the relationship between self-efficacy and policy compliance (r = 0.42, p β = 0.37, p < 0.001). The study identifies critical challenges in risk perception, policy complexity, and organizational culture affecting SME cybersecurity implementation. Results demonstrate that successful cybersecurity initiatives require the integration of psychological principles with technical solutions. The research provides a framework for developing human-centric security policies that address both behavioral and technical aspects of cybersecurity in resource-constrained environments.展开更多
In order to achieve holistic urban plans incorporating transport infrastructure,public space and the behavior of people in these spaces,integration of urban design and computer modeling is a promising way to provide b...In order to achieve holistic urban plans incorporating transport infrastructure,public space and the behavior of people in these spaces,integration of urban design and computer modeling is a promising way to provide both qualitative and quantitative support to decisionmakers.This paper describes a systematic literature review following a four-part framework.Firstly,to understand the relationship of elements of transport,spaces,and humans,w e review policy and urban design strategies for promoting positive interactions.Secondly,we present an overview of the integration methods and strategies used in urban design and policy discourses.Afterward,metrics and approaches for evaluating the effectiveness of integrated plan alternatives are reviewed.Finally,this paper gives a review of state-of-the-art tools with a focus on seven com puter simulation paradigms.This article explores mechanisms underlying the complex system of transport,spaces,and humans from a multidisciplinary perspective to provide an integrated toolkit for designers,planners,modelers and decision-m akers with the current methods and their challenges.展开更多
The digital twin shop-floor has received much attention from the manufacturing industry as it is an important way to upgrade the shop-floor digitally and intelligently.As a key part of the shop-floor,humans'high a...The digital twin shop-floor has received much attention from the manufacturing industry as it is an important way to upgrade the shop-floor digitally and intelligently.As a key part of the shop-floor,humans'high autonomy and uncertainty leads to the difficulty in digital twin modeling of human behavior.Therefore,the modeling system for cross-scale human behavior in digital twin shop-floors was developed,powered by the data fusion of macro-behavior and micro-behavior virtual models.Shop-floor human macro-behavior mainly refers to the role of the human and their real-time position.Shop-floor micro-behavior mainly refers to real-time human limb posture and production behavior at their workstation.In this study,we reviewed and summarized a set of theoretical systems for cross-scale human behavior modeling in digital twin shop-floors.Based on this theoretical system,we then reviewed modeling theory and technology from macro-behavior and micro-behavior aspects to analyze the research status of shop-floor human behavior modeling.Lastly,we discuss and offer opinion on the application of cross-scale human behavior modeling in digital twin shop-floors.Cross-scale human behavior modeling is the key for realizing closed-loop interactive drive of human behavior in digital twin shop-floors.展开更多
This paper discusses some issues on human reliability model of time dependent human behavior. Some results of the crew reliability experiment on Tsinghua training simulator in China are given, Meanwhile, a case of ca...This paper discusses some issues on human reliability model of time dependent human behavior. Some results of the crew reliability experiment on Tsinghua training simulator in China are given, Meanwhile, a case of calculation for human error probability during anticipated transient without scram (ATWS) based on the data drew from the recent experiment is offered.展开更多
The last glacial period was vital for the distribution and evolution of early modern humans in Asia. The Shuidonggou Late Paleolithic site, dated at 30-20 ka BP, accumulated cultural remains during the important late ...The last glacial period was vital for the distribution and evolution of early modern humans in Asia. The Shuidonggou Late Paleolithic site, dated at 30-20 ka BP, accumulated cultural remains during the important late stage of MIS 3 period in the last glacial. These remains represent characteristics of typical Late Paleolithic conditions in North China:high degree of standardization and morphological variability of tool types, exploitation of bone materials, systematic use of body decorations, extensive use of earth-pit hearths, distinct functional spatial organization within habitations, and conversion of subsistence patterns. These characteristics illustrate early modern human behaviors during the late MIS3 period, and provide clues and perspectives for the analysis of early modern human origins in China. At the same time, the conversion of subsistence patterns is considered to be a combination of multiple early modern human behaviors, as well as the result of the Broad Spectrum Revolution. In this paper, we argue for the dynamic mechanism of Broad Spectrum Revolution from a human behavioral and ecological perspective.展开更多
This paper presents the results of a detailed study of mortality profiles of the large herbivores from the Middle Palaeolithic (MP) bone assemblage of the Lingjing Xuchang Man Site, Henan Province. Based on the analys...This paper presents the results of a detailed study of mortality profiles of the large herbivores from the Middle Palaeolithic (MP) bone assemblage of the Lingjing Xuchang Man Site, Henan Province. Based on the analysis of the crown heights of fossil teeth from this assemblage, we come to a conclusion that aurochs (Bos primigenius) and horse (Equus caballus) are the major prey species in this assemblage and the age structures of these animals can be best described as the "prime-dominated pattern". This study confirmed the well-established notions at many Middle and Upper Palaeolithic sites across Eurasia and Africa that MSA/MP foragers were fully effective in hunting aggressive prey species, particularly aurochs and horse. This find indicates that the hunting behaviors and subsistence strategies were not significantly different between MP and UP (the Upper Palaeolithic) humans in East Asia and hence suggests the early emergence of the modern human behaviors in this area.展开更多
基金the National Key Research and Development Program of China(No.2022YFC3601400)。
文摘Frequency-modulated continuous-wave radar enables the non-contact and privacy-preserving recognition of human behavior.However,the accuracy of behavior recognition is directly influenced by the spatial relationship between human posture and the radar.To address the issue of low accuracy in behavior recognition when the human body is not directly facing the radar,a method combining local outlier factor with Doppler information is proposed for the correction of multi-classifier recognition results.Initially,the information such as distance,velocity,and micro-Doppler spectrogram of the target is obtained using the fast Fourier transform and histogram of oriented gradients-support vector machine methods,followed by preliminary recognition.Subsequently,Platt scaling is employed to transform recognition results into confidence scores,and finally,the Doppler-local outlier factor method is utilized to calibrate the confidence scores,with the highest confidence classifier result considered as the recognition outcome.Experimental results demonstrate that this approach achieves an average recognition accuracy of 96.23%for comprehensive human behavior recognition in various orientations.
基金supported by the Development Center for Medical Science and Technology National Health Commission of the People's Republic of China(WA2021RW27).
文摘Background Human behaviors and tumors go hand in hand.The wave of globalization has brought about a global homogenization of human behaviors,which further triggers a potential global human behavior-related cancer burden(HBRCB)convergence.Methods This study systematically evaluated the global,regional,and national metrics of HBRCBs over the last 30 years using data from the Global Burden of Diseases(GBD)2019 results and the WHO Global Health Observatory(GHO)data repository.Results The results showed the global remission and convergence of HBRCB in the last three decades and the foreseeable future(2020–2044).Overall,HBRCBs are decreasing with the global emphasis on positive dietary habits,safe sex,substance addiction withdrawal,and active physical exercise habits.Globally,from 1990 to 2019,with the development of social development index(SDI)level from 0.511 to 0.651,the HBRCBs had been decreasing from 1507.908 to 1145.344 in age-standardized disability-adjusted life years(ASDALY)and from 61.467 to 49.449 in(age-standardized death rates)ASDR per 100,000 population with changes of−24.04%and−19.55%,respectively.Meanwhile,the variance in HBRCBs among countries and territories generally showed a decreasing or flat trend.The variance of HBRCBs among 204 countries and territories in 2019–2044 decreased from 1495.210 to 449.202 in males and from 214.640 to 78.848 in females for ASDR due to all behavior risks,and from 911,211.676 to 317,233.590 in males and from 146,171.660 to 62,926.660 in females for ASDALY.The global HBRCBs was becoming more uniform due to the globalization of human behaviors.Conclusions This study revealed the significance of addressing HBRCBs as a uniform and continuous issue in future global health promotion.It also demonstrated the potential existence of a chain effect in global health,where globalization leads to human behavior homogenization,which in turn results in HBRCB convergence.Properly measuring the commonalities and individualities among different regions and finding a balance when designing and evaluating HBRCB-related global policies in the global convergence trend of HBRCBs will be major concerns in the future.
基金Supported by the Major Consulting and Research Project of the Chinese Academy of Engineering(2020-CQ-ZD-1)the National Natural Science Foundation of China(72101235)Zhejiang Soft Science Research Program(2023C35012)。
文摘Image semantic segmentation is an essential technique for studying human behavior through image data.This paper proposes an image semantic segmentation method for human behavior research.Firstly,an end-to-end convolutional neural network architecture is proposed,which consists of a depth-separable jump-connected fully convolutional network and a conditional random field network;then jump-connected convolution is used to classify each pixel in the image,and an image semantic segmentation method based on convolu-tional neural network is proposed;and then a conditional random field network is used to improve the effect of image segmentation of hu-man behavior and a linear modeling and nonlinear modeling method based on the semantic segmentation of conditional random field im-age is proposed.Finally,using the proposed image segmentation network,the input entrepreneurial image data is semantically segmented to obtain the contour features of the person;and the segmentation of the images in the medical field.The experimental results show that the image semantic segmentation method is effective.It is a new way to use image data to study human behavior and can be extended to other research areas.
文摘The use of mathematical models in economics has long been a subject of debate,particularly regarding the tension between mathematical precision and the unpredictability of human behavior.This paper critically examines the limitations of over-relying on mathematical models to predict economic outcomes,arguing that such models often fail to account for the social,cultural,and psychological factors that drive economic activities.The analysis highlights how attempts to quantify complex economic behaviors may lead to oversimplifications and inaccurate forecasts,as illustrated by past financial crises and market disruptions.The paper concludes by advocating for a more balanced approach that combines mathematical rigor with an understanding of human behavior to enhance the accuracy and effectiveness of economic predictions.
基金Foundation： National Natural Science Foundation of China, No.41472138, No.41401220, No.41472026 The CAS Strate- gic Priority Research Program Grant B, No.XDPB05 The Ministry of Science and Technology of China, No.2016YFA0600503
文摘There is a wide diversity of landforms in China. The topography of three major ter- races, decreasing in height stepwise from west to east, was formed by the early Miocene. With the commencement of the Great Northern Hemisphere Glaciations （GHGs） and the glacial-interglacial cycles in the Pleistocene, thick loess deposits accumulated in north China, and fluvial terraces were formed and lakes expanded and contracted in eastern and central China. The earliest evidence of hominins in China is dated to ~1.7 Ma; they occupied the monsoon-dominated region for a long interval, until the late Pleistocene, ~50 ka. In this study, we investigated a large area rich in the relics and artifacts of early man. The results indicate that the early humans occupied riverine areas, especially medium-sized fluvial basins, and lake shores. Even in the relatively recent geological past, the occupation and abandonment of settlements were directly forced by the shifting of sand dune fields in the desert-loess transi- tional zone, which in turn was closely associated with variations in the monsoon climate and vegetation patterns. Our observations indicate that landforms were one of the main determi- nants of early human behavior, in that loess tableland, large alluvial plains, desert-Gobi areas, and the Tibetan Plateau, were not suitable environments for early human settlement. We infer that the early humans in China adapted their behavior to specific landforms and landform processes. The monsoon climate, which shapes the large-scale step-like pattern of fluvial landforms, promotes vegetation coverage and dominates soil formation, provides a crucial context for early human adaptation. The adaptation of early humans to earth surface proc- esses in East Asia is investigated for the first time in this study. Future investigations will provide further information that will increase our understanding of the linkage between early human behavior and landform processes in East Asia.
基金supported by the“MOST”under Grant No.104-2221-E-259-024-MY2
文摘Due to the increasing demand for security, the development of intelligent surveillance systems has attracted considerable attention in recent years. This study aims to develop a system that is able to identify whether or not the people need help in a public place. Different from previous work, our work considers not only the behaviors of the target person but also the interaction between him and nearby people. In the paper, we propose an event alarm system which can detect the human behaviors and recognize the happening event through integrating the results generated from the single and group behavior analysis. Several new effective features are proposed in the study. Besides, a mechanism capable of extracting one-to-one and multiple-to-one relations is also developed. Experimental results show that the proposed approach can correctly detect human behaviors and provide the alarm messages when emergency events occur.
文摘In the process of human behavior recognition, the traditional dense optical flow method has too many pixels and too much overhead, which limits the running speed. This paper proposed a method combing YOLOv3 (You Only Look Once v3) and local optical flow method. Based on the dense optical flow method, the optical flow modulus of the area where the human target is detected is calculated to reduce the amount of computation and save the cost in terms of time. And then, a threshold value is set to complete the human behavior identification. Through design algorithm, experimental verification and other steps, the walking, running and falling state of human body in real life indoor sports video was identified. Experimental results show that this algorithm is more advantageous for jogging behavior recognition.
文摘Classification of human actions under video surveillance is gaining a lot of attention from computer vision researchers.In this paper,we have presented methodology to recognize human behavior in thin crowd which may be very helpful in surveillance.Research have mostly focused the problem of human detection in thin crowd,overall behavior of the crowd and actions of individuals in video sequences.Vision based Human behavior modeling is a complex task as it involves human detection,tracking,classifying normal and abnormal behavior.The proposed methodology takes input video and applies Gaussian based segmentation technique followed by post processing through presenting hole filling algorithm i.e.,fill hole inside objects algorithm.Human detection is performed by presenting human detection algorithm and then geometrical features from human skeleton are extracted using feature extraction algorithm.The classification task is achieved using binary and multi class support vector machines.The proposed technique is validated through accuracy,precision,recall and F-measure metrics.
基金Supported by "Eleventh Five Year" Planning Project of Jiangxi Social Science (10YJ92)"Eleventh Five Year" Planning Project of Jiangxi Social Science (10YJ55)~~
文摘After the analysis of connotations of human behavior and low-carbon landscape,according to relevant theories of behavioral science and psychology,the internal relation between behavior and lowcarbon landscape has been discussed.They relate to,interact on and are the precondition of each other.Reasonable landscape environment has carried people's expectation for nature,and different landscapes give people different feelings and present to be of different behavior features.Finally,the paper has proposed constructing low-carbon landscape in the perspective of landscape design idea,design methods,construction process and later management,providing a theoretical basis for advocating energy saving and environmental protection,and creating green ecology.
文摘The phenomenon described here has no scientific title, but occurs frequently in daily living, from science to philosophy, religion, and medicine. In every field of human endeavor, when a view is expressed, sharp and profound differences of opinion ensue. Initially, we coin this phenomenon as ＂understanding blindness＂ or ＂mind＇s awareness.＂ Thereafter, we decide to refer to it as ＂mind blindness,＂ a concept introduced to science by Professor Simon Baron-Cohen, who coins it for a cognitive disorder associated with autism, Asperger＇s syndrome, and schizophrenia. Baron-Cohen＇s usage has subsequently been extended to dementia, bi-polar disorders, antisocial personality disorders, and even normal aging. In our view, definition and identification of ＂mind blindness＂ in philosophy, religion, science, medicine, and at end-of-life care can help mankind to better understand mechanisms of human behavior, and the causes of conflicts, controversies, contradictions, and sharp differences of opinion in human life, and even to solve some of them.
文摘Human living environment interacts with human behaviors.Environment to some degree determines human behaviors which in return reshape and sustain the dynamic environment.Taking Richard Jefferies' The Acorn Gatherer as a case study,this paper makes an argument that the behaviors of the villagers in the story can be more adequately interpreted in view of the backward countryside environment,and the same is true with the author Richard Jefferies' non-interference in the omniscient third-person point of view in writing the story.It is Richard Jefferies' family environment that makes up his viewpoint of writing,reflecting his critical loving of the countryside,where lives boom and conventions are extremely followed.
基金Supported by Soft Science Program of Science and Technology Bureau of Jiangxi Province(2010DR00702)the Arts and Social Sciences Planning Projects of Jiangxi Province(YG2012121)
文摘In terms of human behavior,company and government policy,it is proposed that the ecological behavior of human being is the basis of influence on the ecological environment construction in Poyang Lake and measures to ensure the sustainable development of ecological environment in Poyang Lake.
基金supported by National Natural Science Foundation of China(Grant Nos.62474192 and 62201567)Youth Innovation Promotion Association,Chinese Academy of Sciences(Grant Nos.2022048 and 2022117)State Key Laboratory of Dynamic Test jointly built by Province and Ministry Open Fund(Grant No.2022-SYSJJ-07).
文摘An intelligent humidity sensing system has been developed for real-time monitoring of human behaviors through respiration detection.The key component of this system is a humidity sensor that integrates a thermistor and a micro-heater.This sensor employs porous nanoforests as its sensing material,achieving a sensitivity of 0.56 pF/%RH within a range of 60–90%RH,along with excellent long-term stability and superior gas selectivity.The micro-heater in the device provides a high operating temperature,enhancing sensitivity by 5.8 times.This significant improvement enables the capture of weak humidity variations in exhaled gases,while the thermistor continuously monitors the sensor’s temperature during use and provides crucial temperature information related to respiration.With the assistance of a machine learning algorithm,a behavior recognition system based on the humidity sensor has been constructed,enabling behavior states to be classified and identified with an accuracy of up to 96.2%.This simple yet intelligent method holds great potential for widespread applications in medical assistance analysis and daily health monitoring.
基金supported by the NNSF of China(Nos.12271308,11901360).
文摘To investigate the effects of environmental pollution and human behavior change on waterborne diseases,we propose a reaction-advection-diffusion waterborne disease model with a general boundary condition,which incorporates human hosts and reservoir aquatic of pathogen.We identify the basic reproduction number R_(0)and discuss its asymptotic properties.We prove its threshold role:if R_(0)<1,the disease-free periodic solution is globally attractive;if R_(0)>1,the model system is uniformly persistent;if R_(0)=1,the disease-free steady state is globally asymptotically stable without the advection term,in which the proof is quite challenging due to human behavior change.
文摘This study investigates the critical intersection of cyberpsychology and cybersecurity policy development in small and medium-sized enterprises (SMEs). Through a mixed-methods approach incorporating surveys of 523 employees across 78 SMEs, qualitative interviews, and case studies, the research examines how psychological factors influence cybersecurity behaviors and policy effectiveness. Key findings reveal significant correlations between psychological factors and security outcomes, including the relationship between self-efficacy and policy compliance (r = 0.42, p β = 0.37, p < 0.001). The study identifies critical challenges in risk perception, policy complexity, and organizational culture affecting SME cybersecurity implementation. Results demonstrate that successful cybersecurity initiatives require the integration of psychological principles with technical solutions. The research provides a framework for developing human-centric security policies that address both behavioral and technical aspects of cybersecurity in resource-constrained environments.
文摘In order to achieve holistic urban plans incorporating transport infrastructure,public space and the behavior of people in these spaces,integration of urban design and computer modeling is a promising way to provide both qualitative and quantitative support to decisionmakers.This paper describes a systematic literature review following a four-part framework.Firstly,to understand the relationship of elements of transport,spaces,and humans,w e review policy and urban design strategies for promoting positive interactions.Secondly,we present an overview of the integration methods and strategies used in urban design and policy discourses.Afterward,metrics and approaches for evaluating the effectiveness of integrated plan alternatives are reviewed.Finally,this paper gives a review of state-of-the-art tools with a focus on seven com puter simulation paradigms.This article explores mechanisms underlying the complex system of transport,spaces,and humans from a multidisciplinary perspective to provide an integrated toolkit for designers,planners,modelers and decision-m akers with the current methods and their challenges.
基金This work was supported by the National Key Research and Development Program,China[2020YFB1708400]the National Defense Fundamental Research Program,China[JCKY2020210B006,JCKY2017204B053].
文摘The digital twin shop-floor has received much attention from the manufacturing industry as it is an important way to upgrade the shop-floor digitally and intelligently.As a key part of the shop-floor,humans'high autonomy and uncertainty leads to the difficulty in digital twin modeling of human behavior.Therefore,the modeling system for cross-scale human behavior in digital twin shop-floors was developed,powered by the data fusion of macro-behavior and micro-behavior virtual models.Shop-floor human macro-behavior mainly refers to the role of the human and their real-time position.Shop-floor micro-behavior mainly refers to real-time human limb posture and production behavior at their workstation.In this study,we reviewed and summarized a set of theoretical systems for cross-scale human behavior modeling in digital twin shop-floors.Based on this theoretical system,we then reviewed modeling theory and technology from macro-behavior and micro-behavior aspects to analyze the research status of shop-floor human behavior modeling.Lastly,we discuss and offer opinion on the application of cross-scale human behavior modeling in digital twin shop-floors.Cross-scale human behavior modeling is the key for realizing closed-loop interactive drive of human behavior in digital twin shop-floors.
文摘This paper discusses some issues on human reliability model of time dependent human behavior. Some results of the crew reliability experiment on Tsinghua training simulator in China are given, Meanwhile, a case of calculation for human error probability during anticipated transient without scram (ATWS) based on the data drew from the recent experiment is offered.
基金supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(XDA05130303)the Knowledge Innovation Program of the Chinese Academy of Sciences(KZCX2-YW-Q1-04)the National Basic Research Program of China(2010CB950203)
文摘The last glacial period was vital for the distribution and evolution of early modern humans in Asia. The Shuidonggou Late Paleolithic site, dated at 30-20 ka BP, accumulated cultural remains during the important late stage of MIS 3 period in the last glacial. These remains represent characteristics of typical Late Paleolithic conditions in North China:high degree of standardization and morphological variability of tool types, exploitation of bone materials, systematic use of body decorations, extensive use of earth-pit hearths, distinct functional spatial organization within habitations, and conversion of subsistence patterns. These characteristics illustrate early modern human behaviors during the late MIS3 period, and provide clues and perspectives for the analysis of early modern human origins in China. At the same time, the conversion of subsistence patterns is considered to be a combination of multiple early modern human behaviors, as well as the result of the Broad Spectrum Revolution. In this paper, we argue for the dynamic mechanism of Broad Spectrum Revolution from a human behavioral and ecological perspective.
基金Supported by the National Basic Research Program of China (Grant No. 2006CB 806400)National Natural Science Foundation of China (Grant Nos. 40602006 and 40872115)
文摘This paper presents the results of a detailed study of mortality profiles of the large herbivores from the Middle Palaeolithic (MP) bone assemblage of the Lingjing Xuchang Man Site, Henan Province. Based on the analysis of the crown heights of fossil teeth from this assemblage, we come to a conclusion that aurochs (Bos primigenius) and horse (Equus caballus) are the major prey species in this assemblage and the age structures of these animals can be best described as the "prime-dominated pattern". This study confirmed the well-established notions at many Middle and Upper Palaeolithic sites across Eurasia and Africa that MSA/MP foragers were fully effective in hunting aggressive prey species, particularly aurochs and horse. This find indicates that the hunting behaviors and subsistence strategies were not significantly different between MP and UP (the Upper Palaeolithic) humans in East Asia and hence suggests the early emergence of the modern human behaviors in this area.
